Optimization of G1 Micromixer Structure in Two-Fluid Mixing Based on CFD and Response Surface Methodology

• Published in: Processes Vol. 12; no. 1; p. 122
• Main Authors: Qin, Liang, Lu, Xiaoxia, Li, Lei, Han, Huan, Chai, Mingming, Yan, Xiaofang, Chen, Shuo, Wang, Hongying, Ma, Weiting
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.01.2024
• Subjects: Algorithms; Chemical engineering; Computational fluid dynamics; Costs (Law); Design; Efficiency; Fluid dynamics; Fractals; Heart; Mathematical models; Mathematical optimization; Methods; Microchannels; Optimization techniques; Particle swarm optimization; Response surface methodology; Reynolds number; Simulation; Velocity; Vortices; Working conditions
• ISSN: 2227-9717; 2227-9717
• DOI: 10.3390/pr12010122

Optimizing the structure of micromixers to improve the mixing efficiency is of great significance for chemical engineering and biology fields. In this study, an optimization of the microchannel in two liquids mixing is carried out based on computational fluid dynamics (CFD) and response surface methodology. Firstly, CFD simulations were performed to investigate the mixing flow field and mixing efficiency in the microchannel by considering different process and structure parameters (e.g., feed pressure p, microchannel width w). The response surface methodology was adopted to construct a fitting surface by CFD discrete working conditions. Then, an optimized microchannel width w was searched using the parallel particle swarm optimization (PPSO) algorithm from the response surface. Lastly, the searched optimum was validated by CFD simulation again, and the final result showed that the predicted mixing efficiency from the response surface model is well confirmed by CFD simulation. On average, the new optimized microchannel width of 1.634 mm performs higher flow flux and mixing efficiency than the original width of 1.5 mm, increasing 13.51% and 2.45%, respectively.